rays1bench

This is a test of rays1bench, a simple path-tracer / ray-tracing that supports SSE and AVX instructions, multi-threading, and other features. This test profile is measuring the performance of the "large scene" in rays1bench.

To run this test with the Phoronix Test Suite, the basic command is: phoronix-test-suite benchmark rays1bench.

Project Site

github.com

Test Created

9 January 2020

Last Updated

9 January 2020

Test Maintainer

Michael Larabel 

Test Type

Processor

Average Install Time

4 Seconds

Average Run Time

1 Minute, 25 Seconds

Test Dependencies

C/C++ Compiler Toolchain + Python

Accolades

5k+ Downloads

Supported Platforms


Public Result UploadsReported Installs*Test Completions*OpenBenchmarking.orgEventsrays1bench Popularity Statisticspts/rays1bench2020.012020.022020.032020.042020.052020.062020.072020.082020.092020.102020.112020.122021.012021.022021.032021.042004006008001000
* Data based on those opting to upload their test results to OpenBenchmarking.org and users enabling the opt-in anonymous statistics reporting while running benchmarks from an Internet-connected platform.
Data current as of Sat, 10 Apr 2021 19:53:46 GMT.

Revision History

pts/rays1bench-1.0.0   [View Source]   Thu, 09 Jan 2020 18:46:02 GMT
Initial commit of rays1bench path tracer.

Suites Using This Test

Multi-Core

Creator Workloads

Renderers

Raytracing


Performance Metrics

Analyze Test Configuration:

rays1bench 2020-01-09

Large Scene

OpenBenchmarking.org metrics for this test profile configuration based on 932 public results since 9 January 2020 with the latest data as of 10 April 2021.

Below is an overview of the generalized performance for components where there is sufficient statistically significant data based upon user-uploaded results. It is important to keep in mind particularly in the Linux/open-source space there can be vastly different OS configurations, with this overview intended to offer just general guidance as to the performance expectations.

Component
Percentile Rank
# Matching Public Results
mrays/s (Average)
100th
20
471 +/- 42
90th
4
269 +/- 2
81st
21
219 +/- 1
79th
9
218 +/- 1
Mid-Tier
75th
< 178
69th
8
149 +/- 1
61st
9
109 +/- 2
56th
3
101 +/- 12
56th
11
99 +/- 1
Median
50th
88
45th
16
81 +/- 1
32nd
13
57 +/- 3
Low-Tier
25th
< 49
21st
14
44 +/- 1
OpenBenchmarking.orgDistribution Of Public Results - Large Scene918 Results Range From 5 To 559 mrays/s5295377101125149173197221245269293317341365389413437461485509533557581306090120150

Based on OpenBenchmarking.org data, the selected test / test configuration (rays1bench 2020-01-09 - Large Scene) has an average run-time of 2 minutes. By default this test profile is set to run at least 3 times but may increase if the standard deviation exceeds pre-defined defaults or other calculations deem additional runs necessary for greater statistical accuracy of the result.

OpenBenchmarking.orgMinutesTime Required To Complete BenchmarkLarge SceneRun-Time246810Min: 1 / Avg: 1.15 / Max: 4

Based on public OpenBenchmarking.org results, the selected test / test configuration has an average standard deviation of 0.1%.

OpenBenchmarking.orgPercent, Fewer Is BetterAverage Deviation Between RunsLarge SceneDeviation246810Min: 0 / Avg: 0.07 / Max: 2

Does It Scale Well With Increasing Cores?

Yes, based on the automated analysis of the collected public benchmark data, this test / test settings does generally scale well with increasing CPU core counts. Data based on publicly available results for this test / test settings, separated by vendor, result divided by the reference CPU clock speed, grouped by matching physical CPU core count, and normalized against the smallest core count tested from each vendor for each CPU having a sufficient number of test samples and statistically significant data.

AMDIntelOpenBenchmarking.orgRelative Core Scaling To Baserays1bench CPU Core ScalingLarge Scene46812162024324864510152025

Recent Test Results

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Most Popular Test Results

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